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All Journal The Indonesian Journal of Computer Science
Yin Yin Htwe
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Investigation of Hydrological Drought in Central Dry Zone, Myanmar Poe Zar Ni Aung; Aye, Nilar; Yin Yin Htwe
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4586

Abstract

This study presents the investigation of hydrological drought in Myanmar’s Central Dry Zone using the Streamflow Drought Index (SDI) across various timescales (3, 6, 9, and 12 months) to assess its impact on water resources and agricultural productivity. The Central Dry Zone, which includes the Ayeyarwaddy River and encompasses the regions of Sagaing, Mandalay, and Magway, shows significant vulnerability of hydrological extremes due to its semi-arid climate and dependence on water resources. Monthly discharge data from selected hydrological stations from 1993 to 2022 is analyzed using DrinC 1.7 software to derive SDI values and drought characteristics. The results show that critical drought events in 2005-2006, 2013-2015, and 2019-2021 for all stations are marked by high severity and extended duration. Short-term SDI (SDI 3 and SDI 6) values capture rapid, intense droughts, while long-term SDI (SDI 9 and SDI 12) highlight extended water shortages. From this result, Monywa station shows the highest severity and duration of droughts across all SDI timescales compared to other stations. The results underscore the necessity of strategic water management and drought mitigation measures to protect agriculture and guide planning, establish early warning systems, and support sustainable development in the Central Dry Zone, Myanmar.
Assessment on Water Resource Management for Sedawgyi Dam: A WEAP Analysis Approach Htoo, Thet Zin; Yin Yin Htwe; Cho Cho Thin Kyi
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4272

Abstract

This study employs the Water Evaluation and Planning (WEAP) system to analyze water resource management for the Sedawgyi Dam in Myanmar. The research integrates hydrological data, demand projections, and infrastructure information to simulate current and future water scenarios. Key steps include model setup, calibration, scenario development, and analysis. The results indicate that Mandalay City's highest domestic water demands are in Chanmyatharzi and Aungmyaetharzan townships, with agricultural water demands peaking in Mattaya township. The reference scenario highlights a significant domestic water supply shortfall, meeting only 10% of the demand, while agricultural demands are nearly fully met. The study underscores the urgent need for improved water management strategies to address rising unmet water demands, particularly for domestic use, to ensure sustainable water resource allocation in the region.
Evaluation of Stream Flow and Water Demand due to Climate Change in the Katha Basin Using Water Evaluation and Planning (WEAP) Model Tun, Win Lwin; Cho Cho Thin Kyi; Yin Yin Htwe
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4273

Abstract

This study addresses the critical issue of assessing climate change impacts on streamflow and water demand in the Katha basin using the WEAP hydrological simulation model with the Soil Moisture (SM) method. The Katha basin, situated within Ayeyarwaddy River basin, faces variability in stream flow due to changing climatic conditions, impacting water availability for agriculture and domestic use. Through WEAP modeling, calibrated and validated against observed data from 2000-2012, the study projects an increase in annual flows under future scenarios (SSP245 and SSP585). Results indicate potential decreases in monsoonal flows, affecting water availability for agriculture and domestic use, necessitating adaptive management strategies. Model performance assessed by Nash Sutcliffe Efficiency (NSE) and Coefficient of Determination (R2) shows satisfactory agreement with observed data. The study underscores the urgency of integrated water resource management to sustainably address water demands amid climate variability, highlighting implications for agricultural productivity and water security in the region.
Co-Authors Aye, Nilar Cho Cho Thin Kyi Htoo, Thet Zin Poe Zar Ni Aung Tun, Win Lwin